Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1352375A23965A932118BC0CB4157362DE2D3DFC9D742AEC0A9F483284AF5C53FB96761 |
|
CONTENT
ssdeep
|
768:lGwOFwON44xpKQhU1GS8TtLOVmCeVpLOAE5OYAhWlax9VMPSuFehzrO1en9OW9Vo:lGPFwON44xpKQhU1GSctLOVmCeVpLOAU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebc3ca9b9b32206a |
|
VISUAL
aHash
|
f9f9c3e7f9e381c1 |
|
VISUAL
dHash
|
4b23070f23033333 |
|
VISUAL
wHash
|
b1f9c1ffc1c181c1 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
4b23070f23033333,558ab1d2ba2a5545 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 143 techniques to evade detection by security scanners and make reverse engineering more difficult.